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For the Inventor, By the Inventor

Frisco, TX, United States of America

Manu Nandan

This inventor holds 6 USPTO granted patents and 2 published patent applications. Top assignee: Crowdstrike, Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Manu Nandan. Retrieved from https://idiyas.com/inventor/manu-nandan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 6 

% Patents Active = 66.7

Average Co-Inventor Count = 2.9

ph-index = 1


Company Filing History:

goldMedal6 out of 224 
 
Crowdstrike, Inc.
 patents

Years Active: 2025-2026

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6 patents (USPTO):Explore Patents
1. 12775456 - Source code similarity (2026-10-27),
2. 12665921 - Risk scoring of cloud permission assignments using supervised machine learning (2026-06-23),
3. 12554846 - Identifying atypical activity involving an entity in a computer system (2026-02-17),
4. 12401679 - AI model based cybersecurity detection prioritization for cybersecurity management systems (2025-08-26),
5. 12335300 - Rules generation to prioritize computer network devices (2025-06-17),
6. 12316667 - Risk scoring of cloud permission assignments using supervised machine learning (2025-05-27),

Title: Innovations of Manu Nandan

Introduction

Manu Nandan is an accomplished inventor based in Frisco, TX (US). He has made significant contributions to the field of cybersecurity, holding a total of 6 patents. His work focuses on enhancing cybersecurity management systems through innovative approaches.

Latest Patents

One of Manu Nandan's latest patents is titled "AI model based cybersecurity detection prioritization for cybersecurity management systems." This patent outlines a method for collecting historical cybersecurity detection data, which includes various cybersecurity detections and their corresponding detection times. The method transforms this data into rank-ordered detection datasets, allowing for the training of an artificial intelligence (AI) model that generates prioritized output datasets from input datasets.

Another notable patent is "Rules generation to prioritize computer network devices." This invention describes a process for generating a target feature vector based on information related to a target entity. The target entity operates within a system that includes a target asset. The approach matches the target feature vector to a compatible entity cluster and generates a prioritization rule for the target asset based on the current entity system's prioritization information.

Career Highlights

Manu Nandan is currently employed at CrowdStrike, Inc., a leading cybersecurity company. His work at CrowdStrike focuses on developing advanced cybersecurity solutions that leverage artificial intelligence and machine learning technologies.

Collaborations

Throughout his career, Manu has collaborated with notable professionals in the field, including Michael Avraham Brautbar and Robert Molony. These collaborations have contributed to the development of innovative cybersecurity solutions.

Conclusion

Manu Nandan's contributions to cybersecurity through his patents and work at CrowdStrike, Inc. highlight his commitment to advancing technology in this critical field. His innovative approaches continue to shape the future of cybersecurity management systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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